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Acquisition de relations entre entités nommées à partir de corpus

Abstract : Named entities have been the topic of many researches during the 90’s. Their detection in texts has reached a high level of performance, at least for the main categories (person, organization and location). It becomes now possible to go further, toward relation between entities recognition. For instance, knowing that a text contains the words “Google” and “Youtube” can be relevant but being able to link them and detect an acquisition relation can be more interesting (Google has bought Youtube in 2006). Our work is focusing on two different aspects: to define a finer perimeter around the relation between named entities definition, with linguistic aspect in mind, and to explore new techniques that make use of linguists in order to build a relation between named entities recognition system.
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Submitted on : Friday, March 6, 2015 - 6:24:40 AM
Last modification on : Friday, January 21, 2022 - 3:31:29 AM
Long-term archiving on: : Sunday, June 7, 2015 - 3:05:44 PM


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  • HAL Id : tel-01124260, version 1



Mani Ezzat. Acquisition de relations entre entités nommées à partir de corpus. Ordinateur et société [cs.CY]. Institut National des Langues et Civilisations Orientales- INALCO PARIS - LANGUES O', 2014. Français. ⟨NNT : 2014INAL0008⟩. ⟨tel-01124260⟩



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